IEEE Transactions on Cognitive Communications and Networking

Papers
(The H4-Index of IEEE Transactions on Cognitive Communications and Networking is 43. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Multi-Agent Deep Reinforcement Learning-Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing261
Contour Stella Image and Deep Learning for Signal Recognition in the Physical Layer197
Symbiotic Radio: Cognitive Backscattering Communications for Future Wireless Networks166
Deep Reinforcement Learning for Collaborative Edge Computing in Vehicular Networks163
Delay-Aware and Energy-Efficient Computation Offloading in Mobile-Edge Computing Using Deep Reinforcement Learning140
Collaborative Cloud-Edge-End Task Offloading in Mobile-Edge Computing Networks With Limited Communication Capability137
Collaborative Learning of Communication Routes in Edge-Enabled Multi-Access Vehicular Environment121
Beyond Cell-Free MIMO: Energy Efficient Reconfigurable Intelligent Surface Aided Cell-Free MIMO Communications104
Automatic Modulation Classification Based on Deep Residual Networks With Multimodal Information98
QoS Prediction for Service Recommendation With Features Learning in Mobile Edge Computing Environment92
Fast-Convergent Federated Learning With Adaptive Weighting91
Deep Reinforcement Learning Control for Radar Detection and Tracking in Congested Spectral Environments77
UAV-Assisted Wireless Energy and Data Transfer With Deep Reinforcement Learning77
Energy Efficient Reconfigurable Intelligent Surface Enabled Mobile Edge Computing Networks With NOMA75
Channel Estimation Method and Phase Shift Design for Reconfigurable Intelligent Surface Assisted MIMO Networks71
Robust Secure Beamforming for Wireless Powered Cognitive Satellite-Terrestrial Networks67
Joint Transmit Beamforming and Phase Shift Design for Reconfigurable Intelligent Surface Assisted MIMO Systems66
A Flow-Based Anomaly Detection Approach With Feature Selection Method Against DDoS Attacks in SDNs66
Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective65
DeepReceiver: A Deep Learning-Based Intelligent Receiver for Wireless Communications in the Physical Layer64
5G New Radio Unlicensed: Challenges and Evaluation62
Optimization of Task Scheduling and Dynamic Service Strategy for Multi-UAV-Enabled Mobile-Edge Computing System62
Secure and Energy Efficient Transmission for IRS-Assisted Cognitive Radio Networks60
Deep Learning Based End-to-End Wireless Communication Systems Without Pilots56
Generative Adversarial Network in the Air: Deep Adversarial Learning for Wireless Signal Spoofing54
NAS-AMR: Neural Architecture Search-Based Automatic Modulation Recognition for Integrated Sensing and Communication Systems53
Federated Learning for Automatic Modulation Classification Under Class Imbalance and Varying Noise Condition52
Open Set Wireless Transmitter Authorization: Deep Learning Approaches and Dataset Considerations51
OFDM-Guided Deep Joint Source Channel Coding for Wireless Multipath Fading Channels51
Reconfigurable Intelligent Surface Assisted Mobile Edge Computing With Heterogeneous Learning Tasks50
Combined RF-Based Drone Detection and Classification50
Channel Estimation Approach for RIS Assisted MIMO Systems49
Lightweight Automatic Modulation Classification Based on Decentralized Learning49
Downlink CSI Feedback Algorithm With Deep Transfer Learning for FDD Massive MIMO Systems48
Delay-Aware VNF Scheduling: A Reinforcement Learning Approach With Variable Action Set47
Lightweight Deep Learning Based Intelligent Edge Surveillance Techniques47
Federated Deep Reinforcement Learning for Traffic Monitoring in SDN-Based IoT Networks46
Robust Beamforming Design for Intelligent Reflecting Surface Aided Cognitive Radio Systems With Imperfect Cascaded CSI46
On the Performance of RIS-Assisted Dual-Hop Mixed RF-UWOC Systems46
Weighted Sum-Rate Maximization for Multi-IRS-Assisted Full-Duplex Systems With Hardware Impairments45
Hybrid Beamforming for Multi-Carrier Dual-Function Radar-Communication System44
Shared Spectrum Monitoring Using Deep Learning43
A 3D Non-Stationary Channel Model for 6G Wireless Systems Employing Intelligent Reflecting Surfaces With Practical Phase Shifts43
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